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		<doi>10.1109/SIBGRAPI.2006.36</doi>
		<citationkey>BordignonLewLopTavCas:2006:PoSeCo</citationkey>
		<title>Point set compression through BSP quantization</title>
		<format>On-line</format>
		<year>2006</year>
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		<author>Bordignon, Alex,</author>
		<author>Lewiner, Thomas,</author>
		<author>Lopes, Hélio,</author>
		<author>Tavares, Geovan,</author>
		<author>Castro, Rener,</author>
		<affiliation>Departamento de Matematica. PUC - Rio de Janeiro</affiliation>
		<affiliation>Departamento de Matematica. PUC - Rio de Janeiro</affiliation>
		<affiliation>Departamento de Matematica. PUC - Rio de Janeiro</affiliation>
		<affiliation>Departamento de Matematica. PUC - Rio de Janeiro</affiliation>
		<affiliation>Departamento de Matematica. PUC - Rio de Janeiro</affiliation>
		<editor>Oliveira Neto, Manuel Menezes de,</editor>
		<editor>Carceroni, Rodrigo Lima,</editor>
		<e-mailaddress>tomlew@mat.puc-rio.br</e-mailaddress>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 19 (SIBGRAPI)</conferencename>
		<conferencelocation>Manaus, AM, Brazil</conferencelocation>
		<date>8-11 Oct. 2006</date>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<transferableflag>1</transferableflag>
		<versiontype>finaldraft</versiontype>
		<keywords>Point Sets, Compression, Binary Space Partition, Geometry-Driven Compression, Geometry Processing.</keywords>
		<abstract>This work introduces a new compression scheme for point sets. This scheme relies on an adaptive binary space partition (BSP) which takes into account the geometric structure of the point set. This choice introduces geometrical rather than combinatorial information in the compression scheme. In order to effectively improve the final compression ratio, this partition is encoded in a progressive manner, decreasing the number of bits used for the quantisation at each subdivision. This strategy distributes the extracost of the geometry encoding onto the maximal number of points, compressing in average 15% more than previous techniques.</abstract>
		<language>en</language>
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